Michael Kopp
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mkk20.bsky.social
Michael Kopp
@mkk20.bsky.social
Believer in memory to memory connections who wonders what "memory" and "compute" really mean.
Reposted by Michael Kopp
xLSTM for Vehicle Trajectory Prediction: arxiv.org/abs/2511.00266

X-TRACK based on xLSTM achieves SOTA.

“Compared to state-of-the-art baselines, X-TRACK achieves performance improvement by 79% at the 1-second prediction and 20% at the 5-second prediction in the case of highD”

Again xLSTM excels.
November 4, 2025 at 12:44 PM
On the flip side, when this current "data center" (more like large GPU clusters turned supercomputer) bubble bursts, they will hold the bum side of that trade and electricity might become very cheap ...
BlackRock will buy AES, one of the largest publicly traded utility companies in the U.S.

AES is a major power provider for Big Tech companies building out data centers.

Yes: while these data centers drive up your electricity costs, wealthy financiers are going to make a killing.
October 4, 2025 at 2:10 PM
... totgesagte leben lange ...
Is Bluesky the actual dead Internet??
September 27, 2025 at 6:06 PM
... a less rose-tinted viewpoint of the same set of facts is that a vendor whose valuation is sky high due to solid demand is now funding its own demand pipeline. And that by funding one client over others. Red flags anyone?
Nvidia will invest as much as $100 billion in OpenAI to support new data centers and other AI infrastructure, a blockbuster deal that underscores booming demand for tools like ChatGPT and the computing power needed to make them run: bloom.bg/3K9akpk

📷️: Al Drago/Andrea Verdelli, Bloomberg
September 23, 2025 at 7:40 AM
Maybe they are confusing antipasto in "an Italian meal is nothing without antipasto" with being anti pasta ...
Why are people like this?
July 8, 2025 at 2:01 AM
Reposted by Michael Kopp
More science data loss with potential impact on hurricane season: processing and delivery of Special Sensor Microwave Imager/Sounder ends by 30 Jun. SSMIS is used by forecasters to assess tropical storm location, cloud structure, and intensity. It’ll lead to 📉 in monitoring ability & forecast skill.
June 26, 2025 at 12:55 AM
Reposted by Michael Kopp
Mein Buch “Was kann Künstliche Intelligenz?“ ist erschienen. Eine leicht zugängliche Einführung in das Thema Künstliche Intelligenz. LeserInnen – auch ohne technischen Hintergrund – wird erklärt, was KI eigentlich ist, welche Potenziale sie birgt und welche Auswirkungen sie hat.
June 4, 2025 at 5:13 PM
Reposted by Michael Kopp
We are soooo proud. Our European-developed TiRex is leading the field—significantly ahead of U.S. competitors like Amazon, Datadog, Salesforce, and Google, as well as Chinese models from companies such as Alibaba.
June 4, 2025 at 8:59 AM
Reposted by Michael Kopp
Attention!! Our TiRex time series model, built on xLSTM, is topping all major international leaderboards. A European-developed model is leading the field—significantly ahead of U.S. competitors like Amazon, Datadog, Salesforce, and Google, as well as Chinese models from Alibaba.
June 2, 2025 at 12:12 PM
Reposted by Michael Kopp
TiRex 🦖 time series xLSTM model ranked #1 on all leaderboards.

➡️ Outperforms models by Amazon, Google, Datadog, Salesforce, Alibaba

➡️ industrial applications

➡️ limited data

➡️ embedded AI and edge devices

➡️ Europe is leading

Code: lnkd.in/eHXb-XwZ
Paper: lnkd.in/e8e7xnri

shorturl.at/jcQeq
Introducing TiRex - xLSTM based time series model | NXAI
TiRex model at the top 🦖 We are proud of TiRex - our first time series model based on #xLSTM technology. Key take aways: 🥇 Ranked #1 on official international leaderboards ➡️ Outperforms models ...
www.linkedin.com
June 2, 2025 at 12:12 PM
Ever though you could get a 35 million parameter time series state-of-the art foundation model that you can run on embedded hardware? Thanks to @hochreitersepp.bsky.social and his team at NXAI, you can. Amazing work!
Paper: arxiv.org/abs/2505.23719
Code: github.com/NX-AI/tirex
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
In-context learning, the ability of large language models to perform tasks using only examples provided in the prompt, has recently been adapted for time series forecasting. This paradigm enables zero...
arxiv.org
June 2, 2025 at 9:45 AM
If you have to say it ... it is an issue. Reminds me of football club presidents coming out and saying their manager is safe. Usually that means said manager is gone not long after. If a risk does not exist it need not be addressed.
June 1, 2025 at 4:27 PM
Not sure "come train our proprietary AI with your data so we can sell it back to you" is such a catchy slogan ...
April 15, 2025 at 4:55 PM
Some warped memory that. Is the US VP ok? Maybe he needs a break. Also, I remember the term "freedom fries" which replaced French fries which were never French to start ... anyway.
youtu.be/CpuN-yM1sZU?...
April 15, 2025 at 3:52 PM
I hope they thought through Northern Ireland and its hybrid status of being in the Single Market but part of the UK.
Honestly, I can’t even with this
April 6, 2025 at 3:03 PM
Trade balance on GOODS only it seems. If the incoming reciprocal actions to these reciprocal tariffs include services into a similarly Kafkaesque formula, that would be bad news for Silicon Valley.
President Trump’s administration calculated its new tariffs primarily based on existing trade balances — a departure from pledges to match the tariff rates and other trade barriers from other countries.
This Is the Formula Trump's Team Used to Calculate Tariffs
President Donald Trump’s administration calculated its raft of new tariffs primarily based on existing trade balances — a departure from pledges to match the tariff rates and other trade barriers from...
www.bloomberg.com
April 3, 2025 at 4:38 PM
In summary, 1. , 4. and 5. made me into a functional analyst, 2. and 3. were key to my research in mathematics, 6. and the entire circle of ideas about memory that arose from this inspire me even today. 7. literally helped me navigate 2008/9.
Very topical again today, I feel. Helps in understanding which theories are necessarily peddled by "flat earthers" and which might have a point. I actually met Wynne, sadly long before I was at all interested in economics. A very decent gentleman, indeed.
7. The only economics books that I could actually use to a) make sense of the data I was seeing and hence b) make money from trading: Wynne Godley's "Macroeconomics" and (together with Marc Lavoie) "Monetary Economics".
In AI this would be called "Sector Accounting is All You Need".
March 29, 2025 at 2:05 PM
Very topical again today, I feel. Helps in understanding which theories are necessarily peddled by "flat earthers" and which might have a point. I actually met Wynne, sadly long before I was at all interested in economics. A very decent gentleman, indeed.
7. The only economics books that I could actually use to a) make sense of the data I was seeing and hence b) make money from trading: Wynne Godley's "Macroeconomics" and (together with Marc Lavoie) "Monetary Economics".
In AI this would be called "Sector Accounting is All You Need".
6. The original LSTM papers (1994 and 1997 version). I might be biased but still very topical and, imho, under explored.
March 29, 2025 at 1:55 PM